Remote Sensing Machine Learning Engineer
Fernando develops algorithms for remote sensing applications and large-scale data analysis using cloud infrastructure. Before joining Global Fishing Watch, he worked as a postdoctoral scholar at NASA Jet Propulsion Laboratory, where he used radar and laser satellite altimetry and imagery to quantify current ice sheet loss and global sea level change, while also assisting with the data engineering of NASA’s ICESat-2 mission. Fernando obtained his PhD in Geophysics from the University of California, San Diego, and has authored numerous articles on climate research using statistical/ML methods. He has also participated in several scientific cruises to the Southern Ocean, including an expedition to Antarctica. Fernando is a strong advocate of open source and open data.
Location: Pasadena, California